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---
dataset_info:
features:
- name: transcription
dtype: string
- name: speaker
dtype: string
- name: speaker_id
dtype: int64
- name: gender
dtype: string
- name: utterance_pitch_mean
dtype: float64
- name: utterance_pitch_std
dtype: float64
- name: snr
dtype: float64
- name: c50
dtype: float64
- name: speech_duration
dtype: float64
- name: stoi
dtype: float64
- name: si-sdr
dtype: float64
- name: pesq
dtype: float64
- name: pitch
dtype: string
- name: speaking_rate
dtype: string
- name: noise
dtype: string
- name: reverberation
dtype: string
- name: speech_monotony
dtype: string
- name: prompt
dtype: string
- name: audio_filename
dtype: string
splits:
- name: train
num_bytes: 187085433
num_examples: 360298
download_size: 66013072
dataset_size: 187085433
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Replicating https://github.com/huggingface/dataspeech using Malay dataset
Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/text-to-speech/dataspeech
Filtered and splitted to train test set at https://huggingface.co/datasets/huseinzol05/processed-tts-combine-annotated
## Speakers
1. Yasmin, ID 0, female
2. Osman, ID 1, male
3. Bunga, ID 2, female
4. Ariff, ID 3, male
5. Ayu, ID 4, female
6. Kamarul, ID 5, male
7. Danial, ID 6, male
8. Elina, ID 7, female
With total ~713 hours.